Giskard

Giskard is an AI red-teaming and LLM security platform designed for enterprise AI teams to proactively detect vulnerabilities in AI agents, including hallucinations, data disclosures, prompt injections, and compliance gaps. Its red-teaming engine continuously generates sophisticated attack scenarios, while its visual annotation studio and test automation help turn findings into durable protections across the AI lifecycle. It integrates with observability stacks and supports on-premise or EU-hosted deployments, with research collaborations (e.g., Phare with Google DeepMind) to benchmark safety and security.

• Continuous AI red-teaming with dynamic, context-aware attacks that adapt to your agent
• Automated vulnerability detection across categories (hallucinations, contradictions, data disclosure, prompt injections, inappropriate content, etc.)
• Business-focused annotation studio to align testing with real-world requirements
• Test execution and regression prevention via comprehensive test suites and a Python SDK
• Observability stack integration and enterprise-grade security (RBAC, SSO, encryption)
• On-premise/cloud deployment with EU-hosted infrastructure and GDPR compliance
• Proactive monitoring to catch issues before production and before adoption hurdles
• Collaboration features bridging technical and business stakeholders
• Research-backed approach with Phare benchmarks and industry collaborations

• Exhaustive vulnerability coverage for AI systems, including hallucinations, biases, and business-compliance gaps
• Proactive vulnerability detection throughout the AI lifecycle, not just post-deployment
• Domain-aware testing that leverages internal knowledge bases and external threat data
• Enterprise-grade security, governance, and GDPR-compliant data handling
• Flexible deployment options (on-premise or EU-hosted cloud) and easy integration with existing tooling
• Collaborative tooling that brings business experts and developers together in testing
• Active research partnerships and a track record with large AI teams

Annual subscription based on the number of AI systems. Pricing details are available on request.